Research on precise localization for autonomous mobile robots formation

Hengjun Huang; Yancheng Qu; Changhong Wang

Research on precise localization for autonomous mobile robots formation

Hengjun Huang^*
, Yancheng Qu
, Changhong Wang

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

In this paper, a precise locating method is presented which is based on machine vision for autonomous mobile robots formation. According to the request of real-time control system, at first we adopt patterns based on texture as the features of robots formation, then utilize sub-pixel algorithm to find feature points, at last use least square method to locate mobile robot quickly. The outcome of experiments in the lab indicates the effectiveness of the method. It is also robust against environment noise.

Original language	English
Title of host publication	Proceedings - 2004 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2004
Pages	142-145
Number of pages	4
State	Published - 2004
Event	Proceedings - 2004 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2004 - Shenyang, China Duration: 22 Aug 2004 → 26 Aug 2004

Publication series

Name	Proceedings - 2004 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2004

Conference

Conference	Proceedings - 2004 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2004
Country/Territory	China
City	Shenyang
Period	22/08/04 → 26/08/04

Keywords

Machine vision
Pose estimation
Robot localization
Robots formation

Cite this

@inproceedings{c6e0a59e995d463886001dec283f502e,

title = "Research on precise localization for autonomous mobile robots formation",

abstract = "In this paper, a precise locating method is presented which is based on machine vision for autonomous mobile robots formation. According to the request of real-time control system, at first we adopt patterns based on texture as the features of robots formation, then utilize sub-pixel algorithm to find feature points, at last use least square method to locate mobile robot quickly. The outcome of experiments in the lab indicates the effectiveness of the method. It is also robust against environment noise.",

keywords = "Machine vision, Pose estimation, Robot localization, Robots formation",

author = "Hengjun Huang and Yancheng Qu and Changhong Wang",

year = "2004",

language = "英语",

isbn = "0780386418",

series = "Proceedings - 2004 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2004",

pages = "142--145",

booktitle = "Proceedings - 2004 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2004",

note = "Proceedings - 2004 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2004 ; Conference date: 22-08-2004 Through 26-08-2004",

}

Huang, H, Qu, Y & Wang, C 2004, Research on precise localization for autonomous mobile robots formation. in Proceedings - 2004 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2004. Proceedings - 2004 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2004, pp. 142-145, Proceedings - 2004 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2004, Shenyang, China, 22/08/04.

Research on precise localization for autonomous mobile robots formation. / Huang, Hengjun; Qu, Yancheng; Wang, Changhong.
Proceedings - 2004 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2004. 2004. p. 142-145 (Proceedings - 2004 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2004).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on precise localization for autonomous mobile robots formation

AU - Huang, Hengjun

AU - Qu, Yancheng

AU - Wang, Changhong

PY - 2004

Y1 - 2004

N2 - In this paper, a precise locating method is presented which is based on machine vision for autonomous mobile robots formation. According to the request of real-time control system, at first we adopt patterns based on texture as the features of robots formation, then utilize sub-pixel algorithm to find feature points, at last use least square method to locate mobile robot quickly. The outcome of experiments in the lab indicates the effectiveness of the method. It is also robust against environment noise.

AB - In this paper, a precise locating method is presented which is based on machine vision for autonomous mobile robots formation. According to the request of real-time control system, at first we adopt patterns based on texture as the features of robots formation, then utilize sub-pixel algorithm to find feature points, at last use least square method to locate mobile robot quickly. The outcome of experiments in the lab indicates the effectiveness of the method. It is also robust against environment noise.

KW - Machine vision

KW - Pose estimation

KW - Robot localization

KW - Robots formation

UR - https://www.scopus.com/pages/publications/28344438566

M3 - 会议稿件

AN - SCOPUS:28344438566

SN - 0780386418

T3 - Proceedings - 2004 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2004

SP - 142

EP - 145

BT - Proceedings - 2004 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2004

T2 - Proceedings - 2004 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2004

Y2 - 22 August 2004 through 26 August 2004

ER -

Research on precise localization for autonomous mobile robots formation

Abstract

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Conference

Keywords

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